633 Gen Ai Jobs - Page 7

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices 23 Jul 2025 To request a medical accommodation during the application or interview process, visit . Wells Fargo maintains a drug free workplace. Please see our to learn more.

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

Responsibilities: • Collaborate with the GenAI development team to ensure clear understanding of the design approach & implementation. • Work closely with stakeholders to gather requirements, set expectations, and provide product updates. • Stay updated with the latest developments in AI and machine learning technologies to provide informed support to the team. • Ensure all products developed conform to high standards of security, quality, performance, resiliency, and compliance. • Responsible for understanding, designing, and writing test scenarios and test cases; updating test cases based on the requirement changes. • Responsible for bug classification & analysis using defect tracking tools such as JIRA. • Check the feasibility of requirements whether they could be automated or if there are some cases that must stay as manual. • Reporting results and feedback to software development teams and stakeholders. • Maintaining documentation for automated processes, test results, and troubleshooting guides.

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must . Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment.

6-10 years experience in data science and ML model development A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution. Solid understanding of regression, classification, and statistical methods Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard) Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow) Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD pipelines (GitHub Actions, Cloud Build) Experience with monitoring and maintaining ML models in production, using Vertex AI Model Monitoring and related GCP tools Good to Have Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and Google Agent Development Kit (ADK) Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such as Discovery Engine SDK, Reasoning Engine SDK, and GKE

Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Microservices, CI/CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills. High degree of flexibility - willing to fill in the gaps rather than relying on othersStrong communication skills, especially in presenting data insights. Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Min 3+ yrs in Data engineer(GenAI platform) ETL/ELT workflows using AWS,Azure Databricks,Airflow,Azure Data Factory Exp in Azure Databricks,Snowflake,Airflow,Python,SQL,Spark,Spark Streaming,AWS EKS, CI/CD(Jenkins) Elasticsearch,SOLR,OpenSearch,Vespa

Location : Bangalore (Hybrid) Job Description: We are seeking an experienced Machine Learning Engineer with a strong background in Generative AI and the development of scalable ML models. The ideal candidate will have deep hands-on experience in Python, core ML/AI/DL concepts, and relevant statistical methods. The role requires a solid grasp of frameworks like TensorFlow, PyTorch, and MLlib, and deployment experience using Kubernetes, Jenkins, and Prometheus. You will work on mission-critical ML systems in areas such as recommendation engines, forecasting models, and safety-focused AI applications, with an emphasis on high-performance and production-grade solutions. Key Responsibilities: Design, build, and deploy scalable machine learning models for GenAI applications. Utilize Python, machine learning, deep learning, and statistical techniques to solve real-world problems. Implement and optimize solutions using TensorFlow, PyTorch, and MLlib. Develop and manage data pipelines using SQL and Apache Spark. Integrate ML models into production environments using Kubernetes and Jenkins. Monitor performance and ensure system reliability using Prometheus and related tools. Apply ML techniques in domains like recommendation systems, safety models, and forecasting algorithms. Must-Have Skills: Scalable ML model development Python, ML, AI, DL, statistics TensorFlow, PyTorch, MLlib SQL, Spark Kubernetes, Jenkins, Prometheus Experience in recommendation, safety, forecasting, etc.

The role of Digital Transformation Services within our company is expanding rapidly, presenting exciting opportunities for growth. As part of this team, your primary responsibility will be to drive Practice development by integrating new technologies and exploring innovative revenue streams. You will play a crucial role in supporting Digital Transformation Programs, particularly in the realm of Sourcing Procurement, by conceptualizing and implementing cutting-edge digital solutions. Collaboration with clients, internal and external technical teams, and outsourced operations will be essential in the creation and management of modern digital solutions within Sourcing Procurement. Your key responsibilities will include developing and enhancing digital solutions such as cognitive procurement suites, category management tools, predictive analytics, and internal procurement intelligence platforms. You will be tasked with creating business cases, designing solutions, and incorporating industry best practices to deliver value-driven digital solutions. Furthermore, you will actively participate in Digital Transformation Programs for Sourcing and Procurement, utilizing various technological interventions and showcasing digital solutions to clients. In addition to your technical responsibilities, you will be expected to engage with stakeholders, conduct assessments of clients" existing landscapes, and ensure high levels of customer satisfaction through effective communication and feedback management. Your role will also involve performing quantitative and qualitative analyses to derive insights from data, collaborating on projects with cross-functional teams, and demonstrating proficiency in tools such as SAS, R, Tableau, Power BI, Ariba, Coupa, and other digital procurement platforms. To excel in this role, you should possess 6-8 years of experience in the Sourcing Procurement domain, with at least 2-4 years in business consulting and solution crafting. A solid understanding of Sourcing and Procurement processes, along with expertise in analytics, category management tools, and data interpretation, will be crucial. Additionally, familiarity with AI concepts and strong storytelling skills for data-driven recommendations will be beneficial in this dynamic and fast-paced environment. If you are passionate about driving digital transformation and eager to contribute towards the growth of our Practice through innovative solutions, we welcome you to join our team and make a meaningful impact in the world of Sourcing & Procurement.,

As a Project Manager / Assistant Manager at iMerit, you will oversee data annotation projects that provide labeled training datasets for machine learning models. You will manage teams of project managers, prompt engineers, content writers, and English language experts, ensuring project milestones are met and aligning project outcomes with client expectations. Lead and manage large-scale data annotation projects involving diverse teams, including single-frame, multi-frame, EgoPose LiDar Data, Gen Ai Data, ADAS and Multimodal AV projects. Initiate and develop strong partnerships with customers and customer success managers to define and evaluate project goals and service performance outcomes. Design and implement project plans focusing on efficiency, quality, and timely delivery while aligning with the company's mission. Collaborate with the Technology team to ensure the high quality and accuracy of data annotation. Juggle multiple competing priorities in a fast-paced environment, making strategic decisions based on data analysis. Manage and resolve conflicts within teams, keeping employees motivated and engaged. Liaise with senior stakeholders across functions to create synergies and enhance client experiences. Ensure compliance with all relevant guidelines, standards, and certifications (e.g., ISO). The ideal candidate should possess proven ability to manage complex LiDar/ Gen AI / ADAS projects in a dynamic, fast-paced environment. Strong leadership skills with the ability to coach and mentor diverse teams. Exceptional problem-solving skills and analytical abilities. Expertise in project management methodologies and tools. Excellent communication and presentation skills, with proficiency in English. High attention to detail and quality orientation. Proficient in Microsoft Office Suite and Google Workspace. As a responsible Project Manager / Assistant Manager, you will also be responsible for team members" overall well-being, including addressing concerns and facilitating career development. Encourage active participation in company and engagement activities. Maintain responsibility for compliance with all applicable regulations and certifications. iMerit is a global enterprise in data enrichment and annotation that combines technologies, processes, and people to deliver enterprise-level solutions to esteemed clients consistently. The company is recognized for its quality, cost-effective projects delivered on time and on budget, with an output accuracy above 98%. iMerit offers a fast-paced, exciting, full-time business opportunity where employees can grow as technology professionals and achieve their goals. Join iMerit's rapidly expanding team and become part of an award-winning organization that is shaping the future of data enrichment, annotation, and labeling in Artificial Intelligence and Machine Learning.,

About the role: This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What you will do: Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value. What you will need: 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented

Key Responsibilities: Establish and scale the Advisory service Practice, driving strategic initiatives and solution offerings across verticals Define the practice roadmap, manage budgets, and contribute to P&L growth. Collaborate with sales and presales teams to develop go-to-market strategies and participate in key client pursuits. Drive innovation by integrating new-age technologies such as AI/ML, LLMs, and Generative AI into advisory delivery Build frameworks, accelerators, and reusable assets to improve scalability and delivery maturity. Represent Organization at external industry forums, client events, and webinars to strengthen market visibility. Desired Profile 20+ years of experience in IT, with significant exposure to Advisory / Professional services, including presales and practice leadership. Demonstrated success in building analytics practice from the ground up and scaling them across geographies Exposure to solutioning, RFP support, and client presentations. Ability to balance strategic thinking with hands-on execution. Strong stakeholder and client management experience across global delivery models.

Immediate Opening For DataScience with Gen AI Experience 4 years in DataScience , 1-3years in GenAI , Machinelearning , Python Job Loc: Hyderabad - Work from office - Monday - Friday Mandatory Email resume diana@vaakruthi.co.in Please note we are looking for only immediate joiners who can join within a week

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Masters degree in Computer Science, AI, Data Science, or related field. Role & responsibilities Preferred candidate profile

Gen AI Developer Specialist (6 to 9 years) - Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development. Gen AI Lead Developer (10 to 12 years) Advanced Model Architectures: Deep understanding of and ability to implement advanced neural network architectures like transformers, attention mechanisms, etc. Scalability: Skills in deploying AI models at scale using cloud platforms and ensuring consistent performance across large user bases. Security and Ethics: Knowledge of potential vulnerabilities in AI (e.g., adversarial attacks), mitigation strategies, and the ethical considerations of AI deployment. Research Acumen: Ability to read, understand, and implement findings from the latest AI research papers. Multimodal AI: Experience with models that handle various data types (e.g., text, images, sound) simultaneously. Domain-Specific Knowledge: Depending on the application, advanced developers might need deep knowledge in specific areas, such as medical imaging, financial forecasting, etc. Continuous Integration/Continuous Deployment (CI/CD): Skills in automating the testing and deployment of AI models, ensuring that models are always up-to-date and performan Digital & GenAI Analyst (12+ years) GenAI & Data Science; Digital Architecture & Enablement; Emerging Tech & Innovation Evangelist Principles and workings of generative models. Knowledge of saving and loading AI models, such as using formats like ONNX or native formats of deep learning frameworks. Cloud platforms like AWS, GCP, or Azure, especially services related to AI and ML. Containerization tools like Docker to package the application and its dependencies. GPUs, TPUs, or other accelerators, and how to leverage them for AI inference. Techniques like model quantization, pruning, and distillation to improve inference speed and reduce memory footprint. Distribute incoming application traffic across multiple instances to ensure optimal resource utilization. Set up monitoring tools to track the health, uptime, and performance of the deployed application. Secure deployment of applications, including encryption, authentication, and authorization mechanisms. Data protection principles, especially when handling user data or other sensitive information. Proficiency with tools like Git. CI/CD pipelines and tools like Jenkins, Travis CI, or GitHub Actions. Networking principles to ensure the application is accessible and communicates effectively with other services or databases. Integrating databases to store or retrieve data, especially if the AI application requires real-time data access.

Job Summary: We are seeking a passionate and highly skilled Solution Architect Generative AI & Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows.As a Generative & Agentic AI Solution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-Augmented Generation (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key Responsibilities: 1. Solution Development: Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama) Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring 2. Architecture & Engineering: Translate business requirements into agentic workflows with reasoning, memory, and tool usage Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling) Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs) Required Technical Competencies: Generative AI: Hands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex Agentic Frameworks: Experience designing goal-oriented agents using AutoGen, CrewAI, Semantic Kernel, or custom planners; familiarity with tool-calling, memory management, and AI schedulers LLMOps / MLOps: CI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, Azure AI Safety) Cloud & DevSecOps: Terraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration Programming: Python (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership Build replaceable but working proofofconceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch” the idea Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / Semantic Kernel Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens & secrets Build CI/CD (GitHub Actions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call Education: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field Note: Working from office Mandatory

Level: Assistant manager Location : Bangalore Interested candidates can share their resume with rhythmrhythm@kpmg.com Role & responsibilities: Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions •Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects •Influence machine learning strategy for Digital programs and projects •Make solution recommendations that appropriately balance speed to market and analytical soundness •Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) •Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Create algorithms to extract information from large, multiparametric data sets. •Deploy algorithms to production to identify actionable insights from large databases. •Compare results from various methodologies and recommend optimal techniques. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Develop and embed automated processes for predictive model validation, deployment, and implementation •Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Preferred candidate profile : Bachelor of Science or Bachelor of Engineering at a minimum Good hands-on skills in both feature engineering and hyperparameter optimization Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering

You will be part of a dynamic team at SAP, focused on developing AI capabilities for Concur Solution Area products like Joule and GenAI Hub. Your role will involve creating reusable AI solutions using Python-based machine learning and deep learning models such as BERT or ROBERTA. A critical aspect of your responsibilities will be to streamline process operations through AI capabilities and provide ongoing support and enhancements to LoBs operational methodologies. Your tasks will include prioritization, execution, and feedback collection to ensure efficient delivery of AI solutions. As a Full Stack Developer with 1-3 years of experience, proficiency in Java and Python is essential for this role. You will work on developing Python-based AI models, utilizing Joule and BTP products, and understanding Concur as a product capability. Your responsibilities will also include translating customer pain points into AI problems, evaluating AI deliverables, designing solutions, and developing applications to address those problems. Collaboration will be a key aspect of your role, as you will closely interact with stakeholder teams, engage in AI-based developments, and leverage Robotics to translate intelligence into actionable insights. Furthermore, you will be expected to create pitch documents, collaborate with product owners, and demonstrate a deep understanding of AI technologies and their applications. In this role, you will have the opportunity to enhance your technical skills by gaining real-time experience in the SaaS business model, cloud servicing, and support functions. You will also collaborate with internal stakeholders, deliver business presentations to executive sponsors, and leadership teams. Proficiency in LLM, Gen AI, machine learning, Python, JavaScript, and HANA ML will be advantageous in this position. At SAP, we value inclusion, health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. As an equal opportunity workplace, we are committed to fostering a diverse and inclusive environment where all employees can reach their full potential. We believe in leveraging the unique capabilities of each individual to create a better and more equitable world. If you are excited about developing complex Python code, learning BTP capabilities, and contributing to innovative AI solutions, this role at SAP offers a rewarding opportunity to showcase your skills and grow within a purpose-driven and future-focused organization.,

As an AI/ML Expert specializing in Computer Vision at TechGlobal, a global leader in strategy, technology consulting, and digital services, you will play a crucial role in designing, developing, and deploying AI-powered visual systems. These systems will interpret images and videos for various use cases such as object detection, facial recognition, image segmentation, anomaly detection, and more. Your key responsibilities will include developing applications and systems that leverage AI tools and Cloud AI services, creating proper cloud or on-premises application pipelines with production-ready quality. You will be tasked with developing new algorithms, enhancing existing models, and exploring innovative applications of AI to address complex challenges faced by clients. Additionally, you will work on emerging research tracks on Agentic AI autonomous systems, apply GenAI models in solutions, and delve into deep learning, neural networks, chatbots, and image processing. Collaboration with Responsible AI, Delivery leads, and Academia will be essential as you work on real-world applications such as digital assistants, healthcare agents, and enterprise automation. You will also be expected to lead research efforts, publish in top-tier conferences, mentor upcoming AI talent, and build novel solutions to industry challenges. The ideal candidate for this role should possess expertise in Computer Vision, and experience in Machine Learning, NLP, Gen AI, or LLM. Qualifications include a Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutes like IITs, IISc, IIITs, and ISIs. A minimum of 12 years of experience is required to excel in this position.,

The Spec Analytics Intmd Analyst role is a developing professional position that requires dealing with problems independently and having the latitude to solve complex issues. It involves integrating specialty area knowledge with industry standards and practices, understanding team integration for accomplishing objectives, and applying analytical thinking and data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, along with professional judgment when interpreting data. The role involves communicating information in a systematic manner, utilizing communication and diplomacy skills, and impacting business activities closely. The quality and timeliness of service provided will affect the effectiveness of the team and closely related teams. The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes. As a Spec Analytics Intmd Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year on various business problems across client experience for the TTS business. This includes leveraging different analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners. Endless curiosity, ideation on analytical projects, and working with large and complex data sets are essential aspects of the role. The incumbent will work with internal and external data sets, recommend business strategies, document data requirements, perform data collection/processing/cleaning, explore data analysis, and assess risk for business decisions. Building partnerships with cross-functional leaders and ensuring compliance with applicable laws and regulations are also key responsibilities of the role. Qualifications for this position include 5-8 years of relevant experience in data science, substantial experience in resolving business problems, utilizing text data for deriving business value, working with Python and SQL extensively, and having a master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines. Strong analytical skills, proficiency in converting business problems into analytical tasks, hands-on experience with data retrieval and manipulation, and expertise in tools like Python, SQL, and PySpark are required. Good to have skills include prior experience in the Customer experience domain, working on developing Agentic AI solutions, and experience with Tableau. This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as needed.,

As a passionate and experienced Expert / Senior Full Stack Developer/Senior Developer with AI Skills at SAP, you will be joining a new engineering team focused on enabling the world to run better through innovative technology solutions. With a strong emphasis on collaboration and a shared passion for driving positive change, you will play a key role in building the foundation for tomorrow and creating an inclusive workplace that values flexibility and diversity. Your responsibilities will include developing cloud & SaaS applications, leveraging your expertise in AI product development, particularly in Agentic AI. You will have the opportunity to work with LLMs and generative AI frameworks, integrating AI-driven features into applications. Your experience with GenAI, LLMs, RAG, Lang Chain, VectorDBs will be crucial in contributing to the success of the team. In this role, you will utilize your expertise in developing RESTful services using technologies such as Spring Boot or Node.js, along with knowledge of SAPUI5 JavaScript, React, Angular, or Vue. Additionally, familiarity with BTP, CDS, CAP, Cloud Foundry, microservices, CI/CD pipelines, DwC, and build automation tools like Jenkins will be beneficial. You will be part of the Deployment Hub team, which is dedicated to simplifying deployment experiences and accelerating time to value through personalization and integration of SAP products. By focusing on customer obsession and leveraging automation and data-driven approaches, the team aims to enhance the product experience, drive improved customer satisfaction, and increase operational efficiency. At SAP, we are committed to creating an inclusive and diverse workplace where every individual, regardless of background, can thrive and contribute their unique talents. Our culture of inclusion, focus on well-being, and flexible working models ensure that all employees can perform at their best. We value the diverse capabilities and qualities that each person brings to the company, investing in our employees" growth and development to unleash their full potential. As part of a global cloud company with a strong team ethic and a commitment to personal development, you will have the opportunity to work on cutting-edge innovations that impact over four hundred thousand customers worldwide. SAP's purpose-driven approach and collaborative culture empower employees to tackle challenges and drive meaningful solutions. Join SAP in its mission to unleash all talent, create a more equitable world, and drive positive change through inclusive practices and innovative technology solutions.,

As a Business Analyst at Capgemini, you will have the opportunity to leverage your expertise in client engagement and P2P processes to drive impactful outcomes. Your role will involve working with cutting-edge technologies such as Gen AI and advanced AI/ML concepts to deliver innovative solutions to our clients. Your responsibilities will include analyzing business requirements, creating functional and technical documentation, and collaborating with stakeholders to ensure successful project delivery. You will utilize your strong analytical and problem-solving skills to identify opportunities for process improvement and drive efficiency within the organization. To excel in this role, you must possess excellent communication and interpersonal abilities, allowing you to effectively communicate complex ideas and collaborate with cross-functional teams. Familiarity with Agile methodologies will be essential in ensuring project success and delivering value to our clients. In addition to your primary skills in Artificial Intelligence and Gen AI, you should have a solid understanding of Business Analyst frameworks such as FRD, BRD, and User Stories. Knowledge of the BSFI domain will be advantageous in navigating the unique challenges of the financial services industry. At Capgemini, you will be part of a global community of over 340,000 team members, working together to drive digital transformation and create a more sustainable world. With a legacy of over 55 years, Capgemini is a trusted partner for leading organizations, offering end-to-end services that leverage the latest technologies and industry expertise. If you are passionate about leveraging technology to drive business impact and are looking to shape your career in a collaborative and innovative environment, we invite you to join us at Capgemini and be part of our mission to unlock the value of technology for our clients worldwide.,

Role & responsibilities Expert in HTML5, CSS/SCSS, JavaScript or TypeScript. Strong with Vue.js or comparable frontend frameworks. Solid Python backend development experience. Strong eye for detail and user experience. Familiar with agile methods (Scrum). Git, REST APIs, VS Code, and debugging workflows. Fluent English communication (written and verbal). Experience with AI integrations (e.g. GPT, LLMs, Copilot). Bonus Skills (Preferred but Not Mandatory): Familiar with cloud (Azure), Docker, or NGINX. Familiarity with RAG systems, AI workflows, or prompt-based programming. Experience with databases (SQL, NoSQL, JSON). Exposure to microservices or service-based architectures. Familiarity with tools like JIRA, Confluence.

Job Title: Product/Application Architect Summary We are seeking a hands-on Product/Application Architect with a proven track record in building enterprise-scale, full-stack applications and AI/ML-powered solutions. The ideal candidate is a strong technical leader who excels in system architecture, cross-functional collaboration, and mentoring engineering teams. You will own architectural decisions across product lines, ensure scalable and maintainable system design, and drive the integration of AI/ML into modern digital platforms. This role demands a combination of deep technical expertise, proactive leadership, and effective communication. Key Responsibilities Architecture & Solution Design Architect robust, scalable, and secure enterprise applications across frontend, backend, and cloud layers. Design and guide the integration of AI/ML models into product workflows, ensuring performance, maintainability, and observability. Define and enforce architectural standards, reusable patterns, and best practices across teams. Technical Leadership Provide hands-on technical direction throughout the software development lifecycle. Review designs and code to uphold architectural integrity and code quality. Introduce and drive adoption of new tools, technologies, and frameworks. Collaboration & Mentorship Translate business needs into high-impact technical solutions through close collaboration with product, design, and data teams. Mentor engineers, provide architectural guidance, and elevate team capabilities. Communicate architectural decisions clearly to both technical and non-technical audiences. Delivery & Execution Support agile development practices, CI/CD pipelines, and DevOps processes. Anticipate and resolve architectural challenges to ensure delivery speed and quality. Continuously evaluate system performance and make improvement recommendations. Required Qualifications Bachelors or Master’s in Computer Science or related field. 10+ years in software engineering, with 3+ years in an architecture or technical leadership role. Experience building full-stack applications using technologies like React, Angular, Node.js, Python, Java, or Golang. Strong background in cloud-native development (AWS or GCP), microservices, and containerization (Docker, Kubernetes). Practical experience designing and deploying AI/ML features using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Deep understanding of system design, API architecture, scalability, and performance optimization. Strong communicator with the ability to influence technical and business stakeholders. Proven experience mentoring teams and fostering engineering excellence.